Literature DB >> 27766361

Ethylene glycol improves electrospray ionization efficiency in bottom-up proteomics.

Peng Yu1, Hannes Hahne1,2, Mathias Wilhelm1, Bernhard Kuster3,4.   

Abstract

Liquid chromatography coupled online to nano-electrospray ionization (nESI) tandem mass spectrometry is the analytical workhorse in the field of proteome research. Dimethyl sulfoxide (DMSO) was recently shown to improve nESI efficiency by a factor of three to ten thus improving the sensitivity and coverage of proteomic experiments. However, relatively few investigations into which solvent additives promote nESI response have been performed at a proteomic scale. Here, we systematically evaluated the concept by screening about 30 compounds with various physico-chemical properties. Detailed further analysis showed that ethylene glycol performed similarly to DMSO and the results indicate that enhancing the nESI response of peptides by simple solvent additives is a valid and promising approach. Ethylene glycol may serve as a viable alternative to DMSO in applications where DMSO has disadvantages. In keeping with nESI theory, the key properties of an effective solvent additive for proteomic applications are a boiling point higher than water, low surface tension, and preferably high polarity for reversed phase LC-MS/MS applications. Graphical Abstract Ethylene glycol substantially improves peptide ionization.

Entities:  

Keywords:  Ethylene glycol; LC-MS; Nano-electrospray ionization; Proteomics

Mesh:

Substances:

Year:  2016        PMID: 27766361     DOI: 10.1007/s00216-016-0023-x

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Physicochemical Parameters Affecting the Electrospray Ionization Efficiency of Amino Acids after Acylation.

Authors:  Jos Hermans; Sara Ongay; Vadym Markov; Rainer Bischoff
Journal:  Anal Chem       Date:  2017-08-16       Impact factor: 6.986

2.  Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework.

Authors:  Matthias Fahrner; Melanie Christine Föll; Björn Andreas Grüning; Matthias Bernt; Hannes Röst; Oliver Schilling
Journal:  Gigascience       Date:  2022-02-15       Impact factor: 6.524

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.